
IT Architecture Lead Architect - AI
Southfield, MIFull-timeSeen 4 days agoSeen in employer's feed 4 days ago
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Job overview
The IT Architecture Lead Architect - AI serves as the design authority for AI architecture within Corporate Applications. The role leads deployment of AI models into production, partners with product managers, business analysts, and DevOps teams to integrate AI into business functions, and oversees assigned projects. It requires experience with enterprise architecture, cloud AI/ML deployment, large-scale data systems, and translating business requirements into AI-driven solutions.
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Full job description
The IT Architecture Lead Architect - AI is a full-time role located in Southfield, MI reporting to the IT Architecture & Integration Manager. Paid relocation is not available. - Serves as design authority for AI architecture within Corporate Applications - Deployment & Scalability: Lead the deployment of AI models into production environments, ensuring performance, scalability, and compliance with enterprise standards. - Cross-Functional Collaboration: Partner with product managers, business analysts, and DevOps teams to translate business needs into technical solutions and integrate AI into core business functions - Oversee and document all aspects of the specific projects that are assigned - Additional responsibilities as identified. This description is not designed to encompass a comprehensive list of required activities, duties or responsibilities. What you'll bring Minimum of 5 years serving as an architect, technical lead, or equivalent design authority for enterprise-scale technology solutions rather than the overall progressive experience requirement. 2+ years of experience deploying AI/ML solutions to cloud platforms (Azure, AWS, or GCP), including CI/CD and MLOps practices 3+ years of experience working with large-scale data systems (e.g., data lakes, data warehouses, distributed processing frameworks such as Spark) Proficiency with Python + experience with modern AI application frameworks (LangChain, LangGraph, Semantic Kernel, LlamaIndex, AutoGen, CrewAI) and familiarity with traditional ML frameworks (TensorFlow, PyTorch, scikit-learn) preferred. Demonstrated experience translating business requirements into AI-driven solutions with measurable outcomes Strong capability to influence and partner across functions, driving alignment and outcomes without relying on formal authority with demonstrated commitment to collaboration, inclusion, and professionalism, fostering productive working relationships Experience leading complex initiatives and improving processes, tools, or operating models at a functional level [Sound judgment in identifying, anticipating, and mitigating risk within scope of responsibility[]{ccp-props="{" 201=""}]{contrast="auto"}
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